An Improved Fast Prediction Method for Full-Space Bistatic Acoustic Scattering of Underwater Vehicles

This paper presents an improved rapid prediction method for solving the full-space bistatic scattering sound field of underwater vehicles. The scattering sound field is represented as the product of the acoustic scattering transfer function and the sound source density function. By utilizing target surface mesh information and partial scattered sound pressure data as known inputs, the method predicts other bistatic scattering sound fields through numerical integration, matrix theory, and the least squares method. To reduce the data input required for predicting the scattering field, the monostatic to bistatic equivalence theorem is incorporated into the algorithm. A comparison with simulation results demonstrates that the proposed approach achieves favorable computational efficiency and reliability. Experimental tests on a double-layered ribbed cylindrical shell further validate the method's performance.

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Publication Details

Journal
Sensors
Published
2025-04-20
DOI
https://doi.org/10.3390/s25082612
Citations
1
Primary Topic
Underwater Acoustics Research
Type
article
Field-Weighted Citation Impact
1.79

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An Improved Fast Prediction Method for Full-Space Bistatic Acoustic Scattering of Underwater Vehicles

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Underwater Acoustics Research
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An Improved Fast Prediction Method for Full-Space Bistatic Acoustic Scattering of Underwater Vehicles

Yaqiang Xue, Changxiong Chen, Ruimin Gu, Cong Xu, Zilong Peng
article en
1 citations

Abstract

This paper presents an improved rapid prediction method for solving the full-space bistatic scattering sound field of underwater vehicles. The scattering sound field is represented as the product of the acoustic scattering transfer function and the sound source density function. By utilizing target surface mesh information and partial scattered sound pressure data as known inputs, the method predicts other bistatic scattering sound fields through numerical integration, matrix theory, and the least squares method. To reduce the data input required for predicting the scattering field, the monostatic to bistatic equivalence theorem is incorporated into the algorithm. A comparison with simulation results demonstrates that the proposed approach achieves favorable computational efficiency and reliability. Experimental tests on a double-layered ribbed cylindrical shell further validate the method's performance.

SensorsVol. 25(8)
Shanghai Jiao Tong University (CN), Collaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration (CN), Jiangsu University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province, National University of Defense Technology
Life below water
Openalex Percentile: Top 18%
Underwater Acoustics Research
1.79
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